The course is a practically focused course following on from the Introduction to SPSS course, presenting a range of commonly used statistical techniques such as logistic regression, multiple regression, ANOVA, ANCOVA and Survival Analysis.

Target Audience

The course is suitable for anybody wanting to develop their statistical data analysis skills and knowledge. The course assumes a basic familiarity with SPSS and simple statistical techniques.

Course Objectives

At the end of the course, you will have:

  • An introduction to the most important methods of statistical data analysis
  • Experience of their use in practice

The course consists of three full days, with lectures on statistical topics and practical laboratory classes, using SPSS and suitable examples to illustrate the techniques introduced in the lectures.

Course Structure

Day 1: Analysis of variance (9:30am-4:00pm)

  • Two-way ANOVA
  • Multiple comparisons, Contrasts, Interactions
  • K-way ANOVA
  • Multiple Linear Regression
  • Stepwise selection methods, regression diagnostics

Day 2: ANCOVA and General Linear Model (9:30am-4:00pm)

  • Covariates and analysis of covariance
  • Interactions between factors and covariates
  • Random and Mixed Effects
  • Repeated Measures ANOVA

Day 3: Further Topics (9:30am-4:00pm)

  • Two by two contingency tables: sensitivity, specificity
  • Binary Logistic Regression
  • Introduction to Survival Analysis (life tables and Kaplan-Mayer)

Course Leader

Prof. Elena Kulinskaya

More Information

We can also deliver this course at an employer's premises and would be happy to discuss details of this and any customisation. 

For more information on the courses and services we can offer please contact:
Sue Johnson
Centre for Professional Development
University of East Anglia
NR4 7TJ
Telephone: +44 (0) 1603 591578
Fax: +44 (0) 1603 591550
Email: professionaldevelopment@uea.ac.uk